Multifactorial environmental and ecological gradients from hydrology and land-use reflect coordinated plankton–organic pollutant spatial dynamics in coastal ecosystems

IF 12.4 1区 环境科学与生态学 Q1 ENGINEERING, ENVIRONMENTAL
Frank Paolo Jay B. Albarico, Chiu-Wen Chen, Cheng-Di Dong
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引用次数: 0

Abstract

Coastal ecosystems are shaped by multifactorial gradients arising from hydrological regimes and land-use pressures, which orchestrate plankton biogeography and pollutant dynamics across spatial scales. However, the links between environmental forcing, plankton community structure, and organic pollutant bioaccumulation remain poorly understood in marine ecosystems. In this study, we explored how hydrology and land use together influence plankton communities and the accumulation of organic pollutants along 29 stations on Taiwan’s southwestern coast. Integrating physicochemical parameters, plankton assemblages, and compound-specific pollutant profiles (PAHs: 684 ± 987 ng/g, PAEs: 60,373 ± 30,376 ng/g, APs: 2,689 ± 1,561 ng/g) revealed coordinated ecological–chemical interactions. Univariate and multivariate analyses—including cluster analysis, exploratory factor analysis, network analysis, redundancy analysis, and canonical correspondence analysis—revealed significant (p < 0.05) environmental and ecological gradients between northern and southern coasts. We identify two distinct ecological regimes: (1) hydrologically influenced northern sites dominated by Thalassiosira and crustacean larvae and eggs, exhibiting lower pollutant loads and nutrient-driven plankton stability; and (2) anthropogenically impacted southern sites characterized by Chaetoceros, copepods, and elevated pollutant bioaccumulation. Compound-specific drivers revealed that PAEs were modulated by zooplankton abundance and TN, APs by phytoplankton traits and TP, and PAHs by plankton biomass and SiO₂. These findings demonstrate that pollutant uptake is not merely concentration-dependent but emerges from ecological trait–nutrient–pollutant coupling shaped by environmental gradients in estuarine and coastal ecosystems. Overall, our findings advance ecological understanding of pollutant–plankton interactions and provide a foundation for developing bioindicator-based strategies to monitor and mitigate coastal pollution, while supporting urban planning in the anthropocene.
来自水文和土地利用的多因子环境生态梯度反映了沿海生态系统浮游生物-有机污染物的协调空间动态
沿海生态系统是由水文制度和土地利用压力引起的多因子梯度塑造的,这些梯度协调了浮游生物地理和污染物在空间尺度上的动态。然而,在海洋生态系统中,环境强迫、浮游生物群落结构和有机污染物生物积累之间的联系仍然知之甚少。本研究以台湾西南沿海29个台站为研究对象,探讨水文与土地利用对浮游生物群落与有机污染物累积的共同影响。综合理化参数、浮游生物组合和化合物特定污染物特征(PAHs: 684±987 ng/g, PAEs: 60,373±30,376 ng/g, APs: 2,689±1,561 ng/g),揭示了协调的生态-化学相互作用。单因素和多因素分析(包括聚类分析、探索性因子分析、网络分析、冗余分析和典型对应分析)显示南北海岸之间的环境和生态梯度显著(p < 0.05)。我们确定了两种不同的生态制度:(1)受水文影响的北部地区以海硅藻和甲壳类幼虫和卵为主,表现出较低的污染物负荷和营养驱动的浮游生物稳定性;(2)以毛类、桡足类和污染物生物积累升高为特征的南方站点受到人为影响。化合物特异性驱动因素表明,PAEs受浮游动物丰度和TN的调节,APs受浮游植物性状和TP的调节,PAHs受浮游生物生物量和SiO 2的调节。这些发现表明,污染物的吸收不仅是浓度依赖的,而且是由河口和沿海生态系统的环境梯度形成的生态性状-营养-污染物耦合产生的。总体而言,我们的研究结果促进了对污染物-浮游生物相互作用的生态学理解,并为开发基于生物指标的策略来监测和减轻沿海污染提供了基础,同时支持人类世的城市规划。
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来源期刊
Water Research
Water Research 环境科学-工程:环境
CiteScore
20.80
自引率
9.40%
发文量
1307
审稿时长
38 days
期刊介绍: Water Research, along with its open access companion journal Water Research X, serves as a platform for publishing original research papers covering various aspects of the science and technology related to the anthropogenic water cycle, water quality, and its management worldwide. The audience targeted by the journal comprises biologists, chemical engineers, chemists, civil engineers, environmental engineers, limnologists, and microbiologists. The scope of the journal include: •Treatment processes for water and wastewaters (municipal, agricultural, industrial, and on-site treatment), including resource recovery and residuals management; •Urban hydrology including sewer systems, stormwater management, and green infrastructure; •Drinking water treatment and distribution; •Potable and non-potable water reuse; •Sanitation, public health, and risk assessment; •Anaerobic digestion, solid and hazardous waste management, including source characterization and the effects and control of leachates and gaseous emissions; •Contaminants (chemical, microbial, anthropogenic particles such as nanoparticles or microplastics) and related water quality sensing, monitoring, fate, and assessment; •Anthropogenic impacts on inland, tidal, coastal and urban waters, focusing on surface and ground waters, and point and non-point sources of pollution; •Environmental restoration, linked to surface water, groundwater and groundwater remediation; •Analysis of the interfaces between sediments and water, and between water and atmosphere, focusing specifically on anthropogenic impacts; •Mathematical modelling, systems analysis, machine learning, and beneficial use of big data related to the anthropogenic water cycle; •Socio-economic, policy, and regulations studies.
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